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DBMS > GBase vs. HBase vs. Vitess

System Properties Comparison GBase vs. HBase vs. Vitess

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHBase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitewww.gbase.cnhbase.apache.orgvitess.io
Technical documentationhbase.apache.org/­book.htmlvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetThe Linux Foundation, PlanetScale
Initial release20082013
Current releaseGBase 8a2.3.4, January 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Data schemeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoproprietary syntax
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept infono user groups or roles

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More resources
GBaseHBaseVitess
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Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

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18 May 2021, The Register

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13 November 2019, TechTarget

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13 December 2018, TechCrunch

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18 May 2021, Datanami

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